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Channel

NetStalkers

@netstalkerscom

On this record: Topic · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

7,803subscribers

-59 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001315636476
TypeChannel
Username@netstalkerscom
Created8 November 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/netstalkerscom

Topic

Hacking & security — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,8037,8787,840.57 August 2026 — 7,862 subscribers7 August 2026 — 7,862 subscribers7 August 2026 — 7,864 subscribers10 August 2026 — 7,865 subscribers12 August 2026 — 7,877 subscribers16 August 2026 — 7,875 subscribers19 August 2026 — 7,877 subscribers23 August 2026 — 7,878 subscribers26 August 2026 — 7,865 subscribers29 August 2026 — 7,862 subscribers1 September 2026 — 7,858 subscribers10 September 2026 — 7,855 subscribers13 September 2026 — 7,842 subscribers17 September 2026 — 7,848 subscribers26 September 2026 — 7,844 subscribers5 October 2026 — 7,836 subscribers10 October 2026 — 7,845 subscribers14 October 2026 — 7,844 subscribers17 October 2026 — 7,842 subscribers20 October 2026 — 7,836 subscribers22 October 2026 — 7,829 subscribers26 October 2026 — 7,821 subscribers29 October 2026 — 7,817 subscribers1 November 2026 — 7,814 subscribers4 November 2026 — 7,810 subscribers7 November 2026 — 7,805 subscribers11 November 2026 — 7,803 subscribers7 August 202611 November 2026
27 measurements spanning 97 days, net -59. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 7,792–7,889 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
11 Nov 2026, 18:467,803-2
7 Nov 2026, 15:097,805-5
4 Nov 2026, 16:407,810-4
1 Nov 2026, 21:417,814-3
29 Oct 2026, 10:547,817-4
26 Oct 2026, 08:257,821-8
22 Oct 2026, 22:307,829-7
20 Oct 2026, 00:577,836-6
17 Oct 2026, 10:287,842-2
14 Oct 2026, 15:287,844-1
10 Oct 2026, 18:567,845+9
5 Oct 2026, 01:577,836-8
26 Sept 2026, 13:207,844-4
17 Sept 2026, 15:227,848+6
13 Sept 2026, 22:387,842-13
10 Sept 2026, 10:187,855-3
1 Sept 2026, 11:357,858-4
29 Aug 2026, 17:287,862-3
26 Aug 2026, 16:337,865-13
23 Aug 2026, 12:087,878first reading

Engagement

36 posts held, back to 15 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 40 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.6%
avg views ÷ 7,803 subscribers
Avg views / post
909
6 posts measured
Reaction rate
0.568%
reactions ÷ views · ER floor
Posts in window
6
of 36 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 November 2026
Posts held36 (15 June 2026 – 7 November 2026)
Views total5,453
Reactions total31
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 14:20 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Video runtime
4m 42s
Average length
1m 34s

Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.

Reaction mix

304 reactions across 36 posts, in 7 distinct kinds. The most used accounts for 66.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍20266.4%
🔥5217.1%
❤3712.2%
🤔72.30%
🗿30.987%
🦄20.658%
😱10.329%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 36 of the 36 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 304 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 36 most recent posts we hold, published 15 June 2026 to 7 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 6 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

7 Nov 2026, 09:02 UTC425 views1 reactionsread 10 November 2026
Video

Хочешь заговорить на английском, но не с кем практиковаться? Появилась ИИ-девушка, с которой можно общаться голосовыми на любые темы, как с носителем. Она слушает твою речь, подробно исправляет ошибки и помогает говорить увереннее. Попробовать можно бесплатно. 🇬🇧 Английский: @ChattyEnglishBot 🇩🇪 Немецкий: @ChattyGermanBot 🇪🇸 Испанский: @ChattySpanishBot 🇫🇷 Французский: @ChattyFrenchBot 🇮🇹 Итальянский: @ChattyItalia…

❤1

7 Nov 2026, 07:47 UTC415 views5 reactionsread 11 November 2026
Forwarded from @python2dayVideo

👺Вычисляем место по одной фотографии без GPS и геотегов! Разработчики представили Geo-Sleuth — мощный скилл, который превращает нейросеть в настоящего цифрового детектива. ▶️ Работает до безумия просто: загружаете фотографию ИИ-агенту и начинается целое расследование. ▶️ ИИ анализирует силуэты гор, тени, дороги, деревья, мосты и мельчайшие детали ландшафта. ▶️ Сопоставляет зацепки со спутниковыми снимками, OpenStre…

👍3🔥2

30 Oct 2026, 06:05 UTC829 views6 reactionsread 11 November 2026
Forwarded from @python2dayVideo

😱 Как человечество пережило прошлую среду? В догонку к новости 💻

🔥4🦄1😱1

30 Oct 2026, 02:04 UTC884 views10 reactionsread 11 November 2026
Forwarded from @python2dayPhoto

💀 КРИПТОВЗЛОМ ВЕКА? С Binance этой ночью вывели миллиарды! Крупнейшая криптобиржа мира оказалась в центре потенциально рекордной хакерской атаки. Общая сумма кражи может достигать $6 миллиардов, что может стать крупнейшей кражей криптовалюты в истории. 😨 Что известно: 🔣 С горячих кошельков Binance зафиксированы масштабные переводы. Только одна операция включала около $2,53 млрд в десятках токенов. 🔣 Tether, Circle …

🔥5👍4🦄1

22 Oct 2026, 11:39 UTC≈1,390 views6 reactionsread 11 November 2026
Video

💻 GHOSTCREW — Python ИИ инструмент для пентестеров и безопасников, который проводит поиск уязвимостей в любых сервисах. Работает как red team внутри твоей системы. Ты описываешь задачу обычным языком — дальше он сам планирует атаку, выбирает инструменты и идёт по цепочке: от разведки до отчёта. Без ручного тыканья и бесконечных команд. Что он умеет на практике: ➡️ Проверяет всё подряд: код, бизнес-логику, сетевой т…

👍6

18 Oct 2026, 06:39 UTC≈1,510 views3 reactionsread 11 November 2026
Photo

💻 С нуля до Zero-Day: как находят уязвимости в реальном мире Если ты когда-нибудь хотел по-настоящему вкатиться в багхантинг, а не просто читать про CVE с чашкой кофе — это твой момент. 🕵️‍♂️ Эжен «Spaceraccoon» Лим — белый хакер мирового уровня, лауреат HackerOne H1-Elite и спикер DEF CON, рассказывает, как он реально находит уязвимости. Прямо по шагам. Внутри ты найдёшь: 💬 Ретроспективный разбор известных багов …

👍3

8 Oct 2026, 08:24 UTC≈13,200 views15 reactionsread 11 November 2026
Photo

❤️ Яндекс сообщил о полной остановке дата-центра в Рязанской области после атаки беспилотников. По информации компании, в результате атаки БПЛА на объект в Сасово произошло возгорание, из-за которого работа дата-центра была полностью остановлена. Часть сервисов и сайтов оказались временно недоступны по всей России. 🫡

🤔7🔥5❤2👍1

30 Sept 2026, 12:57 UTC≈2,470 views11 reactionsread 11 November 2026
Photo

💀Ставим цифровую броню и выжигаем вредоносы из сети. Maltrail — инструмент, который превращает ваш ПК в крепость и режет вирусы, майнеры и подозрительный трафик на подлёте. Это не антивирус, а сетевой страж, который видит больше. Что делает: 💬 Анализирует входящий и исходящий трафик в реальном времени. 💬 Детектит вредоносные домены, URL и IP. 💬 Палит подозрительные HTTP User-Agent строки. 💬 Выявляет актуальные инс…

👍7❤4

23 Sept 2026, 06:19 UTC≈2,360 views8 reactionsread 11 November 2026
Photo

🖱 Увидеть сеть. Воссоздаем схему подключений из дампа трафика Можно ли восстановить схему целой сети, имея на руках только перехваченный трафик? Оказывается, пакеты могут рассказать гораздо больше, чем кажется. В статье берём небольшой дамп сетевого трафика и начинаем разбирать его пакет за пакетом — изучаем структуру протоколов, вытаскиваем из инкапсулированных данных информацию об устройствах и соединениях и пост…

❤5👍3

13 Sept 2026, 15:13 UTC≈2,050 views9 reactionsread 11 November 2026
Forwarded from @python2dayPhoto

💻 Antidetect Tools — полный арсенал для анонимного серфинга. Если ты хоть раз сталкивался с антибот-системами или жёсткими проверками сайтов, то знаешь: обычных прокси или квн* будет маловато. Здесь нужны настоящие инструменты антидетекта, которые маскируют твои действия под человека. В этом репозитории собраны лучшие ресурсы: 🖥 Anti-detect браузеры — меняй отпечатки как перчатки. 📚 Библиотеки для антидетекта — и…

👍7❤2

11 Sept 2026, 05:09 UTC≈1,920 views7 reactionsread 11 November 2026
Photo

💻 JPEG Audit — бесплатный инструмент для цифровой криминалистики фотографий. Он буквально разбирает JPEG по косточкам и помогает понять, откуда взялся снимок и что с ним могли делать. Закидываем фотографию и получаем: 🔣GPS-координаты из метаданных + точку на карте; 🔣проверку места съёмки через Street View; 🔣полный разбор EXIF, IPTC и XMP; 🔣анализ структуры JPEG — markers, DQT/DHT, SOF/SOS и HEX; 🔣автоматические приз…

👍6❤1

2 Sept 2026, 05:55 UTC≈1,580 views6 reactionsread 11 November 2026
Forwarded from @python2dayPhoto

☠️ Robin — мощный ИИ инструмент разведки. Вместо того чтобы часами вручную бродить по сети, открывать десятки страниц и выискивать крупицы полезной информации, Robin автоматизирует практически всю цепочку сбора данных. Вводим интересующую тему — дальше в дело вступает ИИ. Что происходит под капотом: ➡️ Robin с помощью нейросети уточняет исходный поисковый запрос, чтобы повысить релевантность поиска; ➡️ отправляетс…

👍6

Showing the 12 most recent of 36 posts we hold for @netstalkerscom. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Posts recorded as deleted after publishing

We recorded 5 posts on @netstalkerscom as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
12 August 2026
Most recent seen missing
7 November 2026
Median time before seen missing
7 days
Seen missing in the last 30 days
1

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

[PYTHON:TODAY]
@python2day · 63,339
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 21 August 2026
Mr. Robot
@elliot_cybersec · 38,905
Telegram ranks this channel #16 of 70 here — alongside 69 others — read 31 August 2026
CyberYozh
@cyberyozh_official · 62,629
Telegram ranks this channel #21 of 81 here — alongside 80 others — read 21 August 2026
S.E.Book
@S_E_Book · 23,090
Telegram ranks this channel #38 of 64 here — alongside 63 others — read 19 September 2026
Лаборатория хакера
@lab_hack · 25,423
Telegram ranks this channel #41 of 71 here — alongside 70 others — read 14 September 2026
no system is safe // cybersec
@nsis_cybersec · 21,166
Telegram ranks this channel #43 of 71 here — alongside 70 others — read 23 September 2026
Этичный Хакер
@hack_less · 243,065
Telegram ranks this channel #45 of 81 here — alongside 80 others — read 12 August 2026
ZeroDay | Кибербезопасность
@cybersec_academy · 42,588
Telegram ranks this channel #50 of 70 here — alongside 69 others — read 29 August 2026
Python Learning
@Python_per_month · 27,870
Telegram ranks this channel #59 of 86 here — alongside 85 others — read 9 September 2026
Social Engineering
@Social_engineering · 124,696
Telegram ranks this channel #59 of 82 here — alongside 81 others — read 13 August 2026
Белый хакер
@bezopasno_soft · 29,601
Telegram ranks this channel #67 of 78 here — alongside 77 others — read 8 September 2026
Kali Linux
@linuxkalii · 55,900
Telegram ranks this channel #68 of 89 here — alongside 88 others — read 23 August 2026
Python и 1000 уязвимостей
@osint_pythons · 36,463
Telegram ranks this channel #70 of 84 here — alongside 83 others — read 1 September 2026
Однажды в трендах
@trendo · 66,417
Telegram ranks this channel #73 of 90 here — alongside 89 others — read 20 August 2026
Senior Python Developer
@seniorpy · 39,134
Telegram ranks this channel #81 of 92 here — alongside 91 others — read 30 August 2026

This channel appears in 15 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 11 November 2026 — this entry's latest reading, not the date you are reading this.

“NetStalkers” (@netstalkerscom), 7,803 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/netstalkerscom.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.